Senior Software Engineer, MLOps

Employment Type

Full time

Remote

Technology

• Target Base Salary CAD 175,000 – CAD 220,000 with potential to earn an additional 10% annual bonus

Forward Financing is a financial technology company based in Boston, Massachusetts with team members throughout the United States, Dominican Republic, and Canada. The company is on a mission to unlock the capital that fuels small businesses across America. Recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®, Forward is investing in its employees, technology, and customer experience – with long-term success in mind every step of the way.

Forward Financing is a financial technology company headquartered in Boston, MA with an operational hub in the Dominican Republic, a satellite office in Salt Lake City, Utah and a growing team in Canada. Forward is on a mission to unlock the capital that fuels small businesses across America. Recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®, Forward is investing in its employees, technology, and customer experience – with long-term success in mind every step of the way.

Our Engineering team serves as a key driver of innovation at Forward Financing. We build the software that powers a Fin Tech product that serves Small Businesses across the country. A key part of our strategy involves leveraging data from dozens of sources to power our AI/ML initiatives and our analytical capabilities. We are looking for an experienced Senior Software Engineer to join our team, responsible for the systems that power our online (real-time) feature store — the infrastructure that serves ML features to production models with low latency and high reliability.

• Design, build, and operate the online feature store — the real-time serving layer that delivers ML features to production models with low latency and strong consistency guarantees
• Build and maintain data pipelines (batch and streaming) that compute, validate, and publish features from source systems into the online and offline stores
• Work on the data models and Postgres schemas that back real-time feature serving, optimizing for query performance, freshness, and scale
• Act as a technical leader for feature store infrastructure; help drive enhancements to quality, scalability, reliability, and observability for the systems ML models depend on
• Partner closely with our Data Science, Analytics Engineering, Product Management, and Application Development teams to translate business requirements into production-grade engineering solutions
• Contribute to mentoring for junior engineers
• Contributing to best practices and raising the bar through thoughtful code reviews and contributions to technical design discussions

• Mission-driven company:
  Forward is a trusted source of fast, flexible funding for small businesses that have often been underserved by traditional financing options. When you join the team, you will help ensure all small businesses have access to the financial support they need to succeed.
• Flexibility is a top priority:
  Our employees are empowered to choose where they want to work (whether that''s from home, in the office, or a combination of both).

• 5+ years of software experience, with a focus on backend systems (Python required) and 2-3 years of MLOps experience
• Strong experience with relational databases (Postgres preferred) — schema design, query optimization, and operating databases under production load
• Experience building and operating real time inference systems
• Understanding of the unique reliability and correctness demands of ML-serving infrastructure (data freshness, training/serving skew, feature consistency)
• Experience in multi-service architectures and design patterns
• Typically has a Bachelor''s degree in Computer Science, Data Engineering, or a related field, or additional relevant experience

• Experience with feature stores (e.g., Feast, Tecton, Sage Maker Feature Store) or building an equivalent system in-house
• Experience with MLOps tooling (e.g., MLflow, Airflow, dbt) and ML model…